Eric-Wallace / universal-triggersLinks
Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)
☆295Updated 11 months ago
Alternatives and similar repositories for universal-triggers
Users that are interested in universal-triggers are comparing it to the libraries listed below
Sorting:
- Implementation code for the paper "Generating Natural Language Adversarial Examples"☆170Updated 5 years ago
- Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)☆141Updated 3 years ago
- Official repository for Jia, Raghunathan, Göksel, and Liang, "Certified Robustness to Adversarial Word Substitutions" (EMNLP 2019)☆38Updated 5 years ago
- Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples☆36Updated 6 years ago
- ☆63Updated 5 years ago
- Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT☆198Updated 4 years ago
- A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/☆96Updated 2 years ago
- Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency☆70Updated 2 years ago
- Heuristic Analysis for NLI Systems☆126Updated 4 years ago
- SAFER: A Structure-free Approach For cErtified Robustness to Adversarial Word Substitutions (ACL 2020)☆31Updated 4 years ago
- Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"☆199Updated 4 years ago
- ☆51Updated 6 years ago
- Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"☆87Updated 4 years ago
- ☆89Updated 3 years ago
- syntactically controlled paraphrase networks☆167Updated 6 years ago
- Adversarial examples for Seq2Seq model in NLP☆40Updated 6 years ago
- Contextualized Perturbation for Textual Adversarial Attack, NAACL 2021☆43Updated 3 years ago
- A Model for Natural Language Attack on Text Classification and Inference☆513Updated 2 years ago
- This repository contains the code for "Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP".☆88Updated 3 years ago
- Adversarial Natural Language Inference Benchmark☆397Updated 3 years ago
- ☆12Updated 4 years ago
- ☆64Updated 3 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆68Updated 4 years ago
- A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)☆26Updated 3 years ago
- Dataset + classifier tools to study social perception biases in natural language generation☆69Updated 2 years ago
- A list of publications on NLP interpretability (Welcome PR)☆168Updated 4 years ago
- Tool for Evaluating Adversarial Perturbations on Text☆61Updated 3 years ago
- Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"☆87Updated 6 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models☆61Updated 2 years ago